Data VisualizationSemester Course

Major Discipline(s)
Business, Computer Science, Information Science
Type
Elective Course
Available
Fall/Spring semester
Credit(s)
3

Visual representations of vast and complex arrays of data can change the way we understand and respond to everyday life. Interactive maps of the US presidential election, for example, have allowed us to track vote counting and predict potential outcomes in real time. Visualizations of changes in temperature over time in relation to the production of greenhouse gases and natural events have allowed us to understand human impacts on climate change and simulate potential future scenarios. Genomic data visualizations continuously help to unveil DNA mutations directly related to certain diseases. Using a hands-on approach, this course utilizes computational tools to transform raw data into interactive visual representations that are easy to access, understand, analyze, and reflect upon with the goal to provide insight and augment the cognitive capacity of both domain experts and lay people.

Related Discipline(s)

This course would also be of interest to the following discipline(s):
Communication, Design, Engineering

Faculty

Angie Dag Morozov

DIS Stockholm Semester Faculty

Angie is a d3.js data graphics developer and head of software at Gapminder Foundation in Stockholm, Sweden, where he is responsible for the various software efforts around project gapminder.org/tools and developing the interactive data pictures. Previously built data-intense visualisations for oil platform safety monitoring (ABB Research, Sweden), user interfaces for online payment aggregator (Robokassa, Russia), control systems and operator user interfaces for the ore processing factory (Realtime Software, Russia). Holds academic degrees of M.Sc. in Human computer interaction with a minor in Innovation and Entrepreneurship (graduated 2014 from KTH, Sweden and Aalto, Finland), M.Eng. Industrial Automation and Control Systems (graduated 2011 from URFU, Russia). With DIS since 2022.